Proactive Mode Research Articles

Learning Analytics Based on Big Data: Student Behavior Prediction and Personalized Educational Strategy Formulation

Abstract: Learning analytics have become a game-changer in education by using big data to analyse student behaviours, predict student outcomes and provide personalised interventions. This paper outlines the main components in learning analytics including data collection, predictive modelling and personalised educational strategies. It demonstrates how predictive models can be used to identify at-risk students and why real-time feedback can keep students engaged and motivated. Two case studies and examples of the data are used to illustrate how institutions can shift from reactive to proactive mode using learning analytics to track engagement, performance, and personalise the learning path. The study also shows that learning technologies are becoming adaptive to personalise learning experience, which results in a more learner-centric approach to education catering for the individual needs of students. Overall, the study demonstrates the role of learning analytics in creating a data-driven environment, which improves the student learning success and retention by addressing the challenges ahead of time.

Pro-active risk analysis of an in-house developed deep learning based autoplanning tool for breast Volumetric Modulated Arc Therapy

Background and Purpose:With the increasing amount of in-house created deep learning models in radiotherapy, it is important to know how to minimise the risks associated with the local clinical implementation prior to clinical use. The goal of this study is to give an example of how to identify the risks and find mitigation strategies to reduce these risks in an implemented workflow containing a deep learning based planning tool for breast Volumetric Modulated Arc Therapy. Materials and Methods:The deep learning model ran on a private Google Cloud environment for adequate computational capacity and was integrated into a workflow that could be initiated within the clinical Treatment Planning System (TPS). A proactive Failure Mode and Effect Analysis (FMEA) was conducted by a multidisciplinary team, including physicians, physicists, dosimetrists, technologists, quality managers, and the research and development team. Failure modes categorised as ‘Not acceptable’ and ‘Tolerable’ on the risk matrix were further examined to find mitigation strategies. Results:In total, 39 failure modes were defined for the total workflow, divided over four steps. Of these, 33 were deemed ‘Acceptable’, five ‘Tolerable’, and one ‘Not acceptable’. Mitigation strategies, such as a case-specific Quality Assurance report, additional scripted checks and properties, a pop-up window, and time stamp analysis, reduced the failure modes to two ‘Tolerable’ and none in the ‘Not acceptable’ region. Conclusions:The pro-active risk analysis revealed possible risks in the implemented workflow and led to the implementation of mitigation strategies that decreased the risk scores for safer clinical use.

Development of human resources in implementing aircraft maintenance

HR is the main factor that determines the life or death of an organization, both business and social organizations, HR planning is a science that has a specific object of study and is made a compulsory subject, both at the diploma, undergraduate and postgraduate levels. activities carried out on an ongoing basis to improve employee competence and organizational performance through training, education and career development programs. Human resource competency standards are the first door that must be passed by human resources who will be involved in the world of aviation to evaluate and analyze in the development of human resources in the field of aircraft maintenance. The method in this study uses a qualitative approach using SWOT analysis which identifies opportunities and threats that exist in the macro environment and industry as well as the company's internal strengths and weaknesses. SWOT analysis stands for (Strengths, Weaknesses, Opportunities, Threats). In this study to consider internal factors and external factors that can enhance or hinder the function of human resources in a company. Analysis that can be done by a company to accelerate the company's transition from reactive to proactive mode to improve HR strategy and function. From the test results obtained Streghts, namely the company has a Training Program for mechanics and engineers, Weaknes, namely facilities are still incomplete, mechanics are not thorough in carrying out aircraft maintenance, Opportunities have good relationships with companies, companies that have mechanics and engineers who are still young have the opportunity to add new knowledge. Threats are that larger companies offer better facilities and guarantees, companies find it difficult to find employees who have the skills that the company needs.

The Effects of Posture on Mind Wandering.

Using two executive tasks, we explored how body posture influences mind wandering, a universal internally self-generated activity. Specifically, participants were instructed to perform the Sustained Attention Response Task (SART) and the Flanker task under three postural conditions: lying supine, sitting, and standing upright. These tasks reflect the proactive and reactive modes of executive control, respectively. To measure the frequency of mind wandering, we employed the probe-caught technique, presenting prompts at irregular intervals. The results indicate that, compared to standing and sitting positions, lying supine significantly increased mind wandering, while posture had no effect on either measure of executive control. We suggest that changes in posture alter cognitive activity related to self-generated thoughts and external tasks, whereas the relationship between mind wandering and executive control requires further research.

Categorical and dimensional aspects of stimulant medication effects in adult patients with ADHD and healthy controls.

Psychiatric disorders are categorized on the basis of presence and absence of diagnostic criteria using classification systems such as the international classification of diseases (ICD) and the diagnostic and statistical manual for mental disorders (DSM). The research domain criteria (RDoC) initiative provides an alternative dimensional framework for conceptualizing mental disorders. In the present paper, we studied neural and behavioral effects of central stimulant (CS) medication in adults with attention deficit hyperactivity disorder (ADHD) and healthy controls using categorical and dimensional stratifications. AX-Continuous Performance Task (AX-CPT) was utilized for the later purpose, and participants were classified as "reactive" or "proactive" based on their baseline proactive behavioral index (PBI). Out of the 65 individuals who participated (33 healthy controls and 32 patients with ADHD), 53 were included in the final analysis that consisted of 31 healthy controls and 22 ADHD patients. For the dimensional stratification, a median split of PBI scores divided participants into "reactive" and "proactive" groups irrespective of whether they had ADHD or not. Participants performed AX-CPT in conjunction with functional magnetic resonance imaging (fMRI) before and after CS medication. We found no significant within or between group CS effect when participants were categorically assigned as healthy controls and ADHD patients. For the dimensional stratification, however, CS selectively increased activation in frontoparietal cognitive areas and induced a shift towards proactive control mode in the reactive group, without significantly affecting the proactive group. In conclusion, the neural and behavioral effects of CS were more clear-cut when participants were stratified into dimensional groups rather than diagnostic categories.

Development of a simulation model and adjustment of hyperparameters of a neural network for predicting possible states of a network of small space carriages

The purpose of the research is to develop a simulation model and tune the hyperparameters of a neural network to predict possible states of a network of small spacecraft.The research methods are based on the concepts of the theory of artificial intelligence to control a group of small spacecraft (SSV) – the use of adaptive methods and tools to make decisions, similar to the mechanisms of human thinking. In relation to space communication systems with a heterogeneous structure, artificial intelligence methods and technologies are aimed at predicting the state of communication channels between network nodes and automatically reconfiguring a network of devices based on neural network learning processes. One of the most important functions of network software for the application of cognitive algorithms is to predict the quality of communication between pairs of SSVs.Results. A method has been developed for using the Transformer architecture neural network to predict possible states of the SSV network, which provides aggregation and time synchronization of data on the state of the SSV network, their use for training the neural network, as well as using the neural network to predict the quality of communication. The data format for the training sample has been created, based on the representation of the state of the SSV network, which ensures the generation of the initial state of the network, modeling the proactive mode of its operation, collecting SSV network state markers to generate training data sets in the form of chronological sequences grouped into frames, and allowing to reduce the amount of data transferred between SSVs when creating a training set. A simulation model of the SSV network has been developed, which provides generation of the initial state of the network, modeling of the proactive mode of its operation, and collection of information about the state of the SSV network to generate sets of synthetic training data.Conclusion. The article develops a simulation model of the SSV network for generating synthetic training data and predicting possible states of the SSV network, as well as a method for using a neural network to predict possible states of the SSV network.

A dual mechanisms of control account of age differences in working memory.

Age-related differences in working memory (WM) can be large, but the exact sources are unclear. We hypothesized that young adults outperform older adults on WM tasks because they use controlled attention processes to prioritize the maintenance of relevant information in WM in a proactive mode, whereas older adults tend to rely on the strength of familiarity signals to make memory decisions in a reactive mode. We used a WM task that cued participants to prioritize one item over others and presented repeated lure probes that cause errors when one is engaged in a reactive mode. Results showed that, relative to young adults with full attention available to use proactive control during the delays, older adults with full attention (and young adults with divided attention) during the delays had exaggerated error rates to repeated lure probes compared to control probes. When the amount of proactive interference was increased (by repeating stimuli across trials), older adults were able to engage in proactive control, and this eliminated their exaggerated error rate (while young adults with divided attention could not). These results provide evidence for a dual mechanisms of control account of age differences in WM. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Tokamak edge localized mode onset prediction with deep neural network and pedestal turbulence

A neural network, BES-ELMnet, predicting a quasi-periodic disruptive eruption of the plasma energy and particles known as edge localized mode (ELM) onset is developed with observed pedestal turbulence from the beam emission spectroscopy system in DIII-D. BES-ELMnet has convolutional and fully-connected layers, taking two-dimensional plasma fluctuations with a temporal window of size 128 µs and generating a scalar output which can be interpreted as a probability of the upcoming ELM onset. As approximately labeled inter-ELM broadband ( 15kHz⩽f⩽150kHz ) fluctuations are given to the network, BES-ELMnet learns by itself ELM-related precursors arising before the onsets through supervised learning scheme. BES-ELMnet achieves the gradually increasing ELM onset probabilities between two consecutive ELMs during the inter-ELM phases and can forecast the first ELM onsets which occur after the high confinement mode transition. We further investigate the network generality in terms of the selected frequency band to ensure the use of BES-ELMnet for various operation regimes without changing the trained architecture. Therefore, our novel prediction method will enhance a proactive high confinement mode control of fusion-grade plasmas.

Development of proactive mode of providing tax deductions for personal income tax

The paper studies discussion issues of the simplified procedure for obtaining tax deductions for personal income tax (hereinafter referred to as PIT). The objectives of the study are the following: to review the changes in tax legislation from January 1, 2024 in the field of proactive mode of granting tax deductions for PIT, to justify the increasing role of this interaction between individuals and tax authorities, to identify current problems and to search for ways of solving them. The authors analysed the practice of application of the simplified procedure for obtaining property and investment tax deductions; statistical data of the Federal Tax Service of Russia on the provision of tax deductions in a simplified manner (1-DDK statistical form “On the declaration of personal income”). The analysis of key changes in the provision of deductions entering into force on January 1, 20124 was also conducted. The main problems that individuals may have when receiving deductions or that tax authorities may face in the course of tax control are highlighted, and possible ways to solve them are identified. The authors concluded, firstly, that it is necessary to form prefilled applications not only while receiving tax deductions, but also when paying PIT, for example, when a person sells real estate, cars. Secondly, it is required to enshrine in tax legislation the order of priority of providing tax deductions if a taxpayer has the right for several types of them. The obtained results can be used in developing solutions to taxation of personal income and provision of tax deductions, in legislative drafting on improvement of provisions of the state tax policy.

Comparison of proactive and reactive interaction modes in a mobile robotic telecare study

Mobile robotic telepresence systems require that information about the environment, the task, and the robot be presented to a remotely located user (operator) who controls the robot for a specific task. In this study, two interaction modes, proactive and reactive, that differ in the way the user receives information from the robot, were compared in an experimental system simulating a healthcare setting. The users controlled a mobile telepresence robot that delivered and received items (medication, food, or drink), and also obtained metrics (vital signs) from a simulated patient while the users performed a secondary healthcare-related task (they compiled health records which were displayed to them on the screen and answered related questions). The effect of the two interaction modes on overall performance and user perception was evaluated through a within-participant study design conducted with 50 participants belonging to two different types of populations (with and without a technological background). Efficiency, effectiveness, understanding, satisfaction, and situation awareness were defined as the dependent variables measured both objectively and subjectively. The proactive mode increased user performance, and understanding of the system and reduced the workload compared to the reactive mode. However, several of the users valued the option of increased user control experienced in the reactive mode. We, therefore, proposed design suggestions to highlight some of the benefits of factoring the reactive mode into the design as a hybrid mode.

HWMP-based secure communication of multi-agent systems

Multi-agent systems (MAS), known for their autonomy, fault tolerance, and flexible collaboration capabilities, are widely used in various fields. Communication security is one of the most critical problems of MAS tasks. Once a malicious attacker invades agents in the system, it brings massive threats to the entire system. It tampers with routing messages, discards packets, and paralyzes the communication network. To implement collaboration tasks of MASs safely and efficiently, this work makes security improvements on the hybrid wireless mesh protocol (HWMP) with an additional authentication system. We enhance the proactive and reactive mode of the HWMP and apply it to an integrated system, i.e., the MAS formation control as a proper instance. We present a HWMP-based secure communication model (HSCM) for MASs. The theoretical analysis and simulation results demonstrate a significant enhancement in network performance under various threats, including packet loss rate, throughput, etc. The results indicate that HSCM plays a significant role in resisting common attacks (such as black hole and flooding attacks) when compared to multi-agent systems without any security protection. There is an approximate 30% increase in packet delivery rate, a substantial enhancement in throughput, and a reduction in routing overhead. The latency also fluctuates within reasonable bounds. Our solution provides secure communication for formation control under malicious attacks.

Response-Category Conflict and Control Mode Determine Memory Performance for Distractors in a Flanker Paradigm.

Cognitive conflicts can lead to better memory for task-relevant information. However, little is known about memory performance for task-irrelevant information. The present study investigated memory performance of task-irrelevant distractors using a Flanker paradigm. In two experiments (N = 699), participants first completed a study phase with 56 flanker trials. The stimuli consisted of trial-unique pictures. A congruent trial consisted of a target flanked by two identical pictures from the same category (e.g., all mammals). An incongruent trial consisted of a target and flankers from different stimulus categories (e.g., a mammal flanked by two identical birds), which results in a response-category conflict. To explore the impact of different control modes, congruent and incongruent trials were presented in pure blocks (allowing a proactive control mode) or in mixed blocks (requiring a reactive control mode). Afterwards, recognition memory was tested in a surprise memory test. In general, the results showed better memory for congruent than incongruent flankers in pure blocks. In contrast in mixed blocks, the results showed better memory for incongruent than for congruent flankers. Thus, memory performance for distractors varies systematically with response-category conflict and control mode.

КРИТЕРИИ ОЦЕНКИ КАЧЕСТВА И ПЕРСПЕКТИВЫ ВНЕДРЕНИЯ ПРОАКТИВНЫХ ГОСУДАРСТВЕННЫХ УСЛУГ

The paper considers how the state’s success in delivering public services can be evaluated in a new proactive mode. This new format implies the provision of services based on data from the agencies, without officials’ participation, by automated algorithms. Such changes require the development of completely new competencies in public bodies, from technical to legal. The success of implementation should be confirmed by regular monitoring based on the evaluation of such implementation and the quality of proactive public services. The goal of our work is to develop a methodological approach to the assessment of implementation and quality of proactive public services. In order to achieve this goal a set of methods was used: methods of expert analysis, formal legal, historical legal and comparative legal methods. The results of the research were the development of the concept and definition of the main directions for realization of the public services proactive mode, their classification and our own approach to the development of a methodology for assessing the implementation and quality of proactive public services. The current research is a pioneering independent study of the proactive mode of public services in the context of the President’s instructions and program documents implementation.

Налоговый вычет на обучение как фактор стимулирования спроса на платные образовательные услуги

The social tax deduction for personal income tax on education is one of the state tools to stimulate demand for paid educational services. The increase in its volume corresponds to the tasks on the agenda of increasing the fairness of income taxation and smoothing the social inequality of citizens. The relevance of the study of the possibilities of improving the deduction for education will increase due to the fact that the level of education of citizens, various opportunities for Russians to access education, low intergenerational mobility are among the factors of high social differentiation. The subject of the study is the personal income tax deduction. The purpose of the work is to substantiate the possibilities of a personal income tax deduction for training in the process of ensuring the smoothing of social inequality of citizens by increasing its demand by taxpayers and providing it in a proactive mode. According to the results of the sociological survey, a decrease in the demand for the deduction for tuition with an increase in taxpayer income, unlike other personal income tax deductions. According to the results of correlation and regression analysis, a high feedback relationship between the level of social inequality of citizens and the amount of social tax deduction for education was established, which indicates the presence of a significant potential for deduction for education in smoothing social inequality of citizens. Conclusions are drawn about the high demand for the social tax deduction for education against the background of a slowdown in the volume of its provision in comparison with other tax deductions. Promising areas for improving the provision of social tax deduction for training are differentiation of categories of recipients, indexing of limits and simplification of the procedure for obtaining them.

Where space is created societal values are generated – the case of the Sand Engine

A large sandy peninsula and beach were realized in Dutch coastal waters in the Sand Engine pilot project. In addition to the benefits for flood protection, the Sand Engine generates multiple other societal values. It provides a new type of landscape of uncommon size along the Holland coast where nature, culture, history and the future can come together. In this paper we discuss the added value of the Sand Engine for culture and the arts, its iconic value, and the development of knowledge in diverse sciences most notably morphology, archeology and paleontology, as well as its educational function. Then we explore how different governance modes can influence how the added value is generated and what type of societal value arises. We distinguish four different governance modes related to the level of control exercised and the level of autonomous societal development allowed by project initiators and managers: directive, co-creational, facilitatory and observational. Different modes can co-exist and may change over time. For the Sand Engine we find that the knowledge development was highly directed, archeology and paleontology were facilitated, while an observational mode was employed towards arts and culture. This leads to the inference that when the physical and societal space is created, societal value-added initiatives emerge. However, such emergence depends on the societal and institutional context as this can act to constrain or enable the type of societal value generated and the extent to which it is realized. Finally, we suggest that applying a more pro-active governance mode to the Sand Engine even at this stage could lead to more diverse and inclusive societal value generation.

On the relationship between emotions and cognitive control: Evidence from an observational study on emotional priming Stroop task.

Evidence is discordant regarding how emotional processing and cognitive control interact to shape behavior. This observational study sought to examine this interaction by looking at the distinction between proactive and reactive modes of control and how they relate to emotional processing. Seventy-four healthy participants performed an emotional priming Stroop task. On each trial, target stimuli of a spatial Stroop task were preceded by sad or neutral facial expressions, providing two emotional conditions. To manipulate the requirement of both proactive and reactive control, the proportion of congruent trials (PC) was varied at the list-wide (LWPC) and item-specific (ISPC) levels, respectively. We found that sad priming led to behavioral costs only in trials with low proactive and reactive cognitive control demands. Our findings suggest that emotional processing affects cognitive processes other than cognitive control in the Stroop task. Moreover, both proactive and reactive control modes seem effective in overcoming emotional interference of priming stimuli.

EEG-based multivariate pattern analysis reveals the control mechanisms of emotion regulation through distancing

Background/objectiveA neurocognitive model of distancing has systematically identified a set of brain regions that support the control mechanisms for emotion regulation (ER). However, the temporal dynamics of these control mechanisms during ER remains unclear. MethodTo address this issue, we recorded behavioral and electroencephalogram (EEG) data to compare proactive and reactive ER modes in an adapted ER task (N = 30 adults). In different ER modes, participants were instructed to downregulate their negative emotional experiences by applying the reappraisal tactic of distancing. ResultsThe behavioral results showed that proactive ER, which involves preparing for the upcoming regulation, reduced the negative emotional experience more than reactive ER, which involves no preparation process, in the reappraisal-negative condition. This indicated that proactive ER was more effective than reactive ER in regulating negative emotions. Event-related potential (ERP) and multivariate pattern analysis (MVPA) results showed that ER through distancing involved two phases: First, the reappraisal cue enhanced the allocation of attention to activate the mental building blocks and constructed a new perspective in the preparation process. Second, participants who benefited from the preparation process initiated the ER earlier and adaptively re-engaged in the ER if time permitted. ConclusionsTaken together, the control mechanisms underlying the preparation process influence the timing of ER, while the control mechanisms underlying the regulation process determine the regulatory effect.

Attentional Control in Subjective Cognitive Decline.

Attention is an essential cognitive ability that is necessary in other cognitive processes. Only few studies have focused on decline in specific functions of attention in older adults with cognitive decline. No research explores the difference in the proactive and reactive mode of control between the healthy control (HC) and older adults with subjective cognitive decline (SCD). The current work investigated whether there was any decline in alerting, orienting, and executive control in SCD. Particularly, the present study further explored the impairment of the proactive and reactive control in SCD. We recruited 25 HC and 26 SCD. All participants first finished a set of neuropsychological assessments. They then completed an Attention Network Test for measuring the alerting, orienting, and executive control, the List-wide and the Item-specific Proportion Congruency Effect task for measuring the proactive and reactive mode of control, respectively. No difference was found in alerting, orienting, and executive control measured by the ANT between SCD and HC. The results also indicated no difference in the reactive control between SCD and HC. However, older adults with SCD performed worse in the proactive control as compared to HC. Older adults with SCD showed an impairment in the proactive control. The current findings help us better understand objective decline in cognitive domains other than memory and shed light on early assessment and prevention of AD.

Modeling Improved Li-Ion Cell Capacity through Suppression of Temperature with Internal Electrolyte Flow

Lithium-ion cells are ubiquitous in portable electronic applications and are growing in popularity for electric vehicles including passenger cars. Yet, a dramatic reduction in global emissions to combat climate change calls for significantly broader adoption of carbon neutral technologies in electric vehicles and in stationary energy storage to complement variable renewable sources and growing electricity demand.1 For lithium-ion batteries, a critical barrier to such broader adoption is the inability to sustain high rate while also accessing the full capacity of cells. In addition to mass transport effects, overheating commonly limits the duration of high-rate discharge or charge due to excessive heat generation and inadequate heat removal.Here, we provide a brief illustrative tutorial of these coupled effects in a pseudo two-dimensional electrochemical model and build on our previous modeling and dimensional analyses2-4 of how internal electrolyte flow across Li-ion cells reduces both mass and thermal transport limitations.First, we describe the intentional and sudden onset of internal electrolyte convection to curb or to avert further temperature rise in a Li-ion cell during high-rate discharge. We examine two modes for introducing electrolyte flow: temperature-triggered (“reactive”) and discharge-rate triggered (“proactive”) modes. In the reactive case, flow is introduced in the simulation when a cell under high-rate discharge reaches a high safety cutoff temperature. In the proactive case, flow begins as the discharge rate is step changed from midrate to high rate. A practical application of proactive mode is that a battery thermal management system could be programmed to initiate electrolyte flow in anticipation of greater heat generation at a higher rate.Next, using the aforementioned continuum modeling with circulation through an external tank, we compare and contrast Li-ion cell thermal responses to the onset of flow in reactive mode versus in proactive mode. In both cases, the threshold flow rate (~μm/s) to suppress temperature rise agrees in order of magnitude with dimensionless group estimates reported in our previous work.4 Namely, temperature rise is suppressed when the heat generation rate becomes lower than the heat removal rate. At the highest electrolyte flow rates simulated (>>μm /s), the heat removal by internal electrolyte flow dominates, and the cell achieves nearly full discharge capacity without prematurely crossing temperature or voltage cutoffs. For low flow rates (<μm /s), the proactive and reactive cases show quantitatively different transient temperature trajectories due to the temperature dependences of heat generation and removal. Heat generation rate decreases with elevated cell temperature due to facile mass transfer and resultant concentration uniformity, optimal electrolyte conductivity, and ease of charge transfer kinetics. Also, heat removal using internal electrolyte flow becomes more effective with high cell temperature relative to ambient inlet temperature. Hence, the flow rate needed to cool a cell that has reached a high safety cutoff temperature (in reactive mode) is lower than the flow rate required to curb temperature rise in a cell just above ambient temperature (in proactive mode) as high-rate discharge starts.

Topical corticosteroids inhibit allergic skin inflammation but are ineffective in impeding the formation and expansion of resident memory T cells.

Tissue-resident memory T (TRM ) cells are detrimental in allergic contact dermatitis (ACD), in which they contribute to the chronicity and severity of the disease. We assessed the impact of a standard topical corticosteroid (TCS) treatment, triamcinolone acetonide (TA), on the formation, maintenance and reactivation of epidermal TRM cells in a preclinical model of ACD to 2,4-dinitrofluorobenzene. TA 0.01% was applied at different time points of ACD response and we monitored skin inflammation and tracked CD8+ CD69+ CD103+ TRM by flow cytometry and RNA sequencing. The impact of TA on TRM formation depended on treatment regimen: (i) in a preventive mode, that is, in sensitized mice before challenge, TA transiently inhibited the infiltration of effector T cells and the accumulation of TRM upon hapten challenge. In contrast, (ii) in a curative mode, that is, at the peak of the ACD response, TA blocked skin inflammation but failed to prevent the formation of TRM . Finally, (iii) in a proactive mode, that is, on previous eczema lesions, TA had no effect on the survival of skin TRM , but transiently inhibited their reactivation program upon allergen reexposure. Indeed, specific TRM progressively regained proliferative functions upon TA discontinuation and expanded in the tissue, leading to exaggerated iterative responses. Interestingly, TRM re-expansion correlated with the decreased clearance of hapten moieties from the skin induced by repeated TA applications. Our results demonstrate that TCS successfully treat ACD inflammation, but are mostly ineffective in impeding the formation and expansion of allergen-specific TRM , which certainly restricts the induction of lasting tolerance in patients with chronic dermatitis.